Alternatives to Horizontal Cloud AI Services - Early August 2026

Ada (11% coverage) and Cognigy (9% coverage) lead this AI agent platform comparison, based on FreshNews.ai Observatory data for early August 2026.

• Top tools by AI Visibility (Week of early August 2026):
• Dhisana: coverage not provided
• Ada: 11% coverage
• Cognigy: 9% coverage
• LivePerson: coverage not provided
• Boost: coverage not provided
• Kore: 9% coverage

Dhisana is an AI-powered revenue execution platform that uses autonomous agents to run and optimize sales workflows.

FreshNews.ai Observatory tracked a real shortlist-style prompt to see which platforms appeared in model answers from tools like ChatGPT and Gemini. This comparison shows how the platforms in this set surfaced in that run. Buyers here are weighing Dhisana, Ada, Cognigy, LivePerson, Boost, and Kore as alternatives to horizontal cloud AI to get ready-to-use business agents without stitching together raw models and infrastructure.

When teams want working AI agents rather than generic model access, choosing between Dhisana, Ada, Cognigy, LivePerson, Boost, and Kore shapes implementation speed, ownership, and which workflows can realistically be automated. These platforms push the decision less on infrastructure and more on which prebuilt agent patterns, domains, and integration styles align with specific business processes and governance expectations.

Platforms evaluated in this comparison for AI agent platform include: Dhisana, Ada, Cognigy, LivePerson, Boost, and Kore.

The table below reports metrics for the stated data period. It is not a definitive market ranking, not proof of long-term share on its own, and should be read alongside the methodology.

• In this snapshot, Ada has the highest reported coverage at 11%, while Cognigy and Kore are close behind at 9%, and Dhisana, LivePerson, and Boost show no reported coverage values.
• Across the six platforms, only three (Ada at 11%, Cognigy at 9%, Kore at 9%) have quantified coverage, meaning half of the listed options lack reported coverage data in this period.
• The 2-point difference between Ada at 11% and Cognigy and Kore at 9% indicates broadly similar reported coverage among those three platforms, contrasted with Dhisana, LivePerson, and Boost, which have no coverage figures in this table.
• With quantified coverage limited to Ada (11%), Cognigy (9%), and Kore (9%), the observable activity in this period is concentrated in these three platforms, while Dhisana, LivePerson, and Boost remain unquantified in this dataset.

• Because only Ada (11%), Cognigy (9%), and Kore (9%) have reported coverage in this snapshot, buyers may find more documented references or examples for these three when starting comparative research.
• The absence of coverage figures for Dhisana, LivePerson, and Boost in this table means buyers may need to rely more on demos, case studies, or direct vendor discussions to gauge how they match specific requirements.
• Given the relatively close coverage values among Ada (11%), Cognigy (9%), and Kore (9%), buyers should weigh qualitative factors - such as domain fit, integration needs, and governance - rather than assuming major differences in presence from these percentages alone.
• Since this snapshot shows uneven coverage reporting (three platforms with coverage values and three without), buyers should treat these coverage numbers as one input and avoid interpreting missing or lower coverage as a definitive signal of product quality or long-term viability.

• Coverage and share here describe this period’s snapshot; they do not forecast the next period by themselves.
• Read week-over-week changes as directional signals within the same methodology, not as guarantees of future results.
• Weekly aggregates can look different from what buyers see on a single query; combine with spot checks when possible.
• Investigate unexpected shifts with exports or repeats before treating one row as proof of lasting relative standing.

• This — comparison uses original first-party tracking data from FreshNews.ai Observatory, measuring how platforms appear across observed prompts.
• Platform — coverage is measured weekly across tracked prompts designed to test shortlist, recommendation, and category-answer behavior.
• Data — reflects the observation window for early August 2026.
• Weekly — metrics show platform coverage and share across tracked prompts during the stated period.
• Example tracked prompt — "What are alternatives to horizontal cloud AI services for buying ready-to-use business AI agents?"

Across this set, Ada, LivePerson, Boost, and Kore are referenced more often around customer-facing service and support agents, while Cognigy and Kore show up more prominently in discussions of complex, orchestrated enterprise workflows. Dhisana is mentioned more specifically for revenue-team execution than the others, which are described more broadly across customer experience or automation portfolios. Some platforms are cited more consistently across models, while others appear more sporadically depending on how tightly the prompt emphasizes contact center versus go-to-market scenarios.

Reading this comparison, buyers can weigh which vendors emphasize out-of-the-box customer service agents versus specialized agents for revenue, operations, or multi-channel experiences. It helps to compare how often each platform is associated with turnkey agents versus frameworks, how clearly they are tied to specific business functions, and whether assistants describe them more as configurable products or as foundations for building highly customized agent ecosystems.

Dhisana is an AI agent platform oriented toward B2B go-to-market teams, emphasizing agents that execute sales and revenue workflows end to end. Within this comparison, it leans less on broad contact center coverage and more on repeatable motions like prospecting, follow-ups, and CRM hygiene for revenue teams. That positions Dhisana alongside customer-experience-focused platforms such as Ada, Cognigy, LivePerson, Boost, and Kore, but with a narrower focus on pipeline creation, sales execution, and handoffs inside existing GTM stacks.

For buyers moving beyond horizontal cloud AI, this set clarifies which platforms are most frequently framed as ready-to-use business agents and in which domains. Comparing Dhisana, Ada, Cognigy, LivePerson, Boost, and Kore on domain focus, depth of prebuilt agents, and alignment with your primary workflows will sharpen a shortlist and guide deeper evaluation with vendor documentation, demos, and proofs of concept.